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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Artificial Intelligence for Intraoperative Guidance
Amin Madani, Babak Namazi, Maria S. Altieri, et al.
Annals of Surgery (2020) Vol. 276, Iss. 2, pp. 363-369
Open Access | Times Cited: 220

Showing 1-25 of 220 citing articles:

Surgical data science – from concepts toward clinical translation
Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarıkaya, et al.
Medical Image Analysis (2021) Vol. 76, pp. 102306-102306
Open Access | Times Cited: 220
Fluorescence image-guided tumour surgery
Kun Wang, Yang Du, Zeyu Zhang, et al.
Nature Reviews Bioengineering (2023) Vol. 1, Iss. 3, pp. 161-179
Closed Access | Times Cited: 106
Computer vision in surgery: from potential to clinical value
Pietro Mascagni, Deepak Alapatt, Luca Sestini, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 91
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark
Martin Wagner, Beat P. Müller‐Stich, Anna Kisilenko, et al.
Medical Image Analysis (2023) Vol. 86, pp. 102770-102770
Open Access | Times Cited: 49
The integration of artificial intelligence in robotic surgery: A narrative review
Chi Zhang, M. Susan Hallbeck, Hojjat Salehinejad, et al.
Surgery (2024) Vol. 176, Iss. 3, pp. 552-557
Closed Access | Times Cited: 18
The Impact of Artificial Intelligence and Machine Learning in Organ Retrieval and Transplantation: A Comprehensive Review
David B. Olawade, Sheila Marinze, Nabeel Qureshi, et al.
Current Research in Translational Medicine (2025) Vol. 73, Iss. 2, pp. 103493-103493
Open Access | Times Cited: 2
Artificial intelligence‐based computer vision in surgery: Recent advances and future perspectives
Daichi Kitaguchi, Nobuyoshi Takeshita, Hiro Hasegawa, et al.
Annals of Gastroenterological Surgery (2021) Vol. 6, Iss. 1, pp. 29-36
Open Access | Times Cited: 63
Surgical data science and artificial intelligence for surgical education
Thomas M. Ward, Pietro Mascagni, Amin Madani, et al.
Journal of Surgical Oncology (2021) Vol. 124, Iss. 2, pp. 221-230
Closed Access | Times Cited: 56
AI in Surgical Curriculum Design and Unintended Outcomes for Technical Competencies in Simulation Training
Ali M. Fazlollahi, Recai Yilmaz, Alexander Winkler-Schwartz, et al.
JAMA Network Open (2023) Vol. 6, Iss. 9, pp. e2334658-e2334658
Open Access | Times Cited: 24
Artificial intelligence in pediatric surgery
Anthony Tsai, Stewart R. Carter, Alicia C. Greene
Seminars in Pediatric Surgery (2024) Vol. 33, Iss. 1, pp. 151390-151390
Closed Access | Times Cited: 10
Artificial intelligence: revolutionizing robotic surgery: review
Muhammad Iftikhar, Muhammad Saqib, Muhammad Zareen, et al.
Annals of Medicine and Surgery (2024) Vol. 86, Iss. 9, pp. 5401-5409
Open Access | Times Cited: 10
Automated segmentation by deep learning of loose connective tissue fibers to define safe dissection planes in robot-assisted gastrectomy
Yuta Kumazu, Nao Kobayashi, Naoki Kitamura, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 49
Intraoperative video analysis and machine learning models will change the future of surgical training
Michal Kawka, Tamara Gall, Chihua Fang, et al.
Intelligent Surgery (2021) Vol. 1, pp. 13-15
Open Access | Times Cited: 44
Challenges in surgical video annotation
Thomas M. Ward, Danyal Fer, Yutong Ban, et al.
Computer Assisted Surgery (2021) Vol. 26, Iss. 1, pp. 58-68
Open Access | Times Cited: 41
Validation of an artificial intelligence platform for the guidance of safe laparoscopic cholecystectomy
Simon Laplante, Babak Namazi, Parmiss Kiani, et al.
Surgical Endoscopy (2022) Vol. 37, Iss. 3, pp. 2260-2268
Closed Access | Times Cited: 34
Artificial Intelligence in Colorectal Cancer Surgery: Present and Future Perspectives
Giuseppe Quero, Pietro Mascagni, Fiona R. Kolbinger, et al.
Cancers (2022) Vol. 14, Iss. 15, pp. 3803-3803
Open Access | Times Cited: 29
Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy
R. B. den Boer, Tim J. M. Jaspers, C. de Jongh, et al.
Surgical Endoscopy (2023) Vol. 37, Iss. 7, pp. 5164-5175
Open Access | Times Cited: 19
Artificial Intelligence for context-aware surgical guidance in complex robot-assisted oncological procedures: An exploratory feasibility study
Fiona R. Kolbinger, Sebastian Bodenstedt, Matthias Carstens, et al.
European Journal of Surgical Oncology (2023) Vol. 50, Iss. 12, pp. 106996-106996
Open Access | Times Cited: 19
Automated Capture of Intraoperative Adverse Events Using Artificial Intelligence: A Systematic Review and Meta-Analysis
Michael Eppler, Aref S. Sayegh, Marissa Maas, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 4, pp. 1687-1687
Open Access | Times Cited: 17
Computer image analysis with artificial intelligence: a practical introduction to convolutional neural networks for medical professionals
G Kourounis, Ali Ahmed Elmahmudi, Brian Thomson, et al.
Postgraduate Medical Journal (2023) Vol. 99, Iss. 1178, pp. 1287-1294
Open Access | Times Cited: 17
The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists
Valerio Nardone, Federica Marmorino, Marco Maria Germani, et al.
Current Oncology (2024) Vol. 31, Iss. 9, pp. 4984-5007
Open Access | Times Cited: 7
Challenges in multi-centric generalization: phase and step recognition in Roux-en-Y gastric bypass surgery
Joël L. Lavanchy, Sanat Ramesh, Diego Dall’Alba, et al.
International Journal of Computer Assisted Radiology and Surgery (2024) Vol. 19, Iss. 11, pp. 2249-2257
Open Access | Times Cited: 6
Artificial intelligence software available for medical devices: surgical phase recognition in laparoscopic cholecystectomy
Ken’ichi Shinozuka, Sayaka Turuda, Atsuro Fujinaga, et al.
Surgical Endoscopy (2022) Vol. 36, Iss. 10, pp. 7444-7452
Open Access | Times Cited: 26
Knowledge, attitude, and practice of artificial intelligence in emergency and trauma surgery, the ARIES project: an international web-based survey
Belinda De Simone, Fikri M. Abu‐Zidan, Andrew A. Gumbs, et al.
World Journal of Emergency Surgery (2022) Vol. 17, Iss. 1
Open Access | Times Cited: 23
Real-time detection of the recurrent laryngeal nerve in thoracoscopic esophagectomy using artificial intelligence
Kazuma Sato, Takeo Fujita, Hiroki Matsuzaki, et al.
Surgical Endoscopy (2022) Vol. 36, Iss. 7, pp. 5531-5539
Closed Access | Times Cited: 22
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